ArticleMolecular and clinical oncology2015
Epidermal growth factor receptor gene mutation status and its association with clinical characteristics and tumor markers in non-small-cell lung cancer patients in Northwest China.
Article in Molecular and clinical oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Correlation between carcinoembryonic antigen (CEA) expression and EGFR mutations in non-small-cell lung cancer: a meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024Pooled it
- Association between squamous cell carcinoma antigen level and EGFR mutation status in Chinese lung adenocarcinoma patients.Journal of clinical laboratory analysis · 2022Article
- Clinicopathologic Features and Molecular Biomarkers as Predictors of Epidermal Growth Factor Receptor Gene Mutation in Non-Small Cell Lung Cancer Patients.Current oncology (Toronto, Ont.) · 2021Review
- Long non-coding RNA KCNQ1 overlapping transcript 1 promotes the progression of esophageal squamous cell carcinoma by adsorbing microRNA-133b.Clinics (Sao Paulo, Brazil) · 2021Article
- Carcinoembryonic antigen in pleural effusion of patients with lung adenocarcinoma: a predictive marker for EGFR mutation.Translational cancer research · 2019Article
- The prognostic value of neutrophil to lymphocyte and platelet to lymphocyte ratios for patients with lung cancer.Oncology letters · 2017Article
- The crucial role of protein phosphorylation in cell signaling and its use as targeted therapy (Review).International journal of molecular medicine · 2017Review
- Differential Expression and Clinical Significance of DNA Methyltransferase 3B (DNMT3B), Phosphatase and Tensin Homolog (PTEN) and Human MutL Homologs 1 (hMLH1) in Endometrial Carcinomas.Medical science monitor : international medical journal of experimental and clinical research · 2017Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study was conducted to investigate the mutation status of epidermal growth factor receptor (EGFR) and its association with clinical characteristics and tumor markers in non-small-cell lung cancer (NSCLC) patients from the Xinjiang Uygur Autonomous Region in China. We enrolled 51 cases of NSCLC patients who received radical surgical treatment in the First Affiliated Hospital of Xinjiang Medical University. Quantitative polymerase chain reaction was applied to detect exons 18, 19, 20 and 21 of the EGFR gene in tumor tissues. Multiple tumor markers, including carcinoembryonic antigen (CEA), were assessed preoperatively. The EGFR-positive rate was 49.02% (25/51), with a mutation rate of 8% (2/25) in exon 18, 52% (13/51) in exon 19, 40% (10/51) in exon 21 and no mutations in exon 20. The positive mutation rate in men and women was 37.5% (12/32) and 68.42%, respectively (13/19), with a statistically significantly higher rate in women (P<0.05). There were also statistically significant differences among adenocarcinoma, adenosquamous carcinoma and squamous cell carcinoma cases (P<0.05), while no statistically significant differences were observed in adenocarcinoma cases regarding degree of differentiation, lymph node metastasis and TNM stage (P>0.05). There was a statistically significant association between the EGFR gene mutation status and the preoperative serum CEA level (P<0.05). The mutation rate of the EGFR gene was 68.42% in female lung adenocarcinoma patients, which supports the application of targeted therapy in such cases. However, whether it is possible to obtain information regarding targeted therapy through measuring the level of serum CEA for NSCLC patients with unknown EGFR mutation status requires further investigation through related studies including a higher number of cases.
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